Detail publikace

Recognition of Speech with Non-random Attributes

BURGET, L., ČERNOCKÝ, J.

Originální název

Recognition of Speech with Non-random Attributes

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Most of current speech recognition systems are based on Hidden Markov Models assuming that speech features are sequence of stationary stochastic processes. However, there are certain speech attributes, such as background noise type or speaker voice color, that do not have stochastic character. This fact is often ignored, by designers of robust speaker independent recognition system. In this work, we investigate how the performance of a noisy speech recognition can be improved provided that we have prior knowledge about type and level of noise. Next, recognizer that is using separate models, each trained on a particular type and level of noise, is proposed for more appropriate modeling of speech.

Klíčová slova

Speech recognition, Hidden Markov Models, HMM

Autoři

BURGET, L., ČERNOCKÝ, J.

Vydáno

17. 6. 2003

Nakladatel

Springer Verlag

Místo

České Budějovice

ISBN

3-540-20024-X

Kniha

6th International Conference, TSD 2003 České Budějovice, Czech Republic, September 2003 Proceedings

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

2003

Číslo

09

Stát

Spolková republika Německo

Strany od

1

Strany do

6

Strany počet

6

URL

BibTex

@inproceedings{BUT21496,
  author="Lukáš {Burget} and Jan {Černocký}",
  title="Recognition of Speech with Non-random Attributes",
  booktitle="6th International Conference, TSD 2003 České Budějovice, Czech Republic, September 2003 Proceedings",
  year="2003",
  journal="Lecture Notes in Computer Science",
  volume="2003",
  number="09",
  pages="6",
  publisher="Springer Verlag",
  address="České Budějovice",
  isbn="3-540-20024-X",
  issn="0302-9743",
  url="http://www.kiv.zcu.cz/events/tsd2003/, http://www.fit.vutbr.cz/~burget/phd_activities/burget_tsd03.pdf"
}